AI advancements and improved public housing are making headlines this week, alongside a slight dip in U.S. births, according to multiple news sources. A new AI technique allows models to continuously learn, while better-designed public housing has the potential to significantly boost the future earnings of low-income children.
Researchers from Stanford, Nvidia, and Together AI developed "Test-Time Training to Discover" (TTT-Discover), a technique that allows AI models to continue learning and update their weights during the inference process, as reported by VentureBeat. This approach enables AI to solve complex problems, such as optimizing a GPU kernel, by treating the problem as an environment to be mastered.
Meanwhile, a Vox article highlighted the positive impact of improved public housing on the future earnings of low-income children. According to the article, better-designed public housing could raise a low-income child's future earnings by as much as 50 percent. The article discussed the history of public housing projects in the U.S., which rose across cities from the 1930s to 1960s, and their subsequent decline due to disrepair and concentrated poverty.
In other news, provisional data from multiple sources indicated a slight decrease in U.S. births in 2025, with approximately 3.6 million births reported, about 24,000 fewer than the previous year, according to Fortune. This decline aligns with expert predictions, influenced by factors like delayed marriage, financial concerns, and a declining fertility rate.
The week's headlines also featured a surf academy in Senegal that uses surfing to promote girls' education, as reported by Vox. Other key stories included the stock market's performance and discussions about vocational training.
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